Paper Info
Title
Optimal reservoir operation using a hybrid Simulated Annealing Algorithm-Genetic Algorithm
Abstract
A hybrid Simulated Annealing Algorithm-Genetic Algorithm is used to study the optimal reservoir operation. Then compared with other three methods, such as Genetic Algorithm, POA, and traditional Dynamic Programming, the proposed algorithm has much stronger ability of global search as well as better convergence property and can find the global optimization solution quickly. It is showed that hybrid Simulated Annealing Algorithm-Genetic Algorithm is an effective optimal algorithm and can be applied to the reservoir operation.
Year
DOI
Venue
2010
10.1109/BICTA.2010.5645168
BIC-TA
Keywords
Field
DocType
poa,dispatching,optimal reservoir operation,simulated annealing algorithm-genetic algorithm,global optimization solution,convergence property,hybrid simulated annealing algorithm-genetic algorithm,inflow trend,traditional dynamic programming,optimal dispatching rule,genetic algorithms,reservoirs,simulated annealing,optimal algorithm,global optimization,simulated annealing algorithm,genetic algorithm,gallium
Convergence (routing),Simulated annealing,Hill climbing,Dynamic programming,Mathematical optimization,Reservoir operation,Global optimization,Computer science,Adaptive simulated annealing,Artificial intelligence,Genetic algorithm,Machine learning
Conference
Volume
Issue
ISBN
null
null
978-1-4244-6437-1
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
Yongyong Zhang100.68
Qiang Huang212.43
Fan Gao301.35
Xiao-yi Sun4364.43